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Performance Evaluation of Tetraethylammonium Iodide as Corrosion Inhibitor for Pipeline Protection

Platform, a Journal of Engineering, 2024-06, Vol.8 (2), p.41

2024

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Single-step wet chemical synthesis of Co-doped Bi2O3 photoanode for dye sensitized solar cells

Emergent materials (Online), 2024-06, Vol.7 (3), p.879-886

2024

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RETRACTED: Rehman, A.u.; Lal, B. Gas Hydrate-Based CO2 Capture: A Journey from Batch to Continuous. Energies 2022, 15, 8309

Energies (Basel), 2024-05, Vol.17 (10), p.2253

2024

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RETRACTED: Rehman, A.u.; Lal, B. Gas Hydrate-Based CO[sub.2] Capture: A Journey from Batch to Continuous. IEnergies/I 2022, I15/I, 8309

Energies (Basel), 2024-05, Vol.17 (10)

2024

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Prediction of ionic liquids toxicity using machine learning models for application to gas hydrate

Process safety progress, 2024-05, Vol.43 (S1), p.S199-S212

2024

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Desalination of produced water via carbon dioxide hydrate using filter-based hydrate desalination reactor

Separation and purification technology, 2024-03, Vol.332, p.125849, Article 125849

2024

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Amino acid-assisted effect on hydrate-based CO2 storage in porous media with brine

RSC advances, 2024-03, Vol.14 (13), p.9339-9350

2024

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Amino acid-assisted effect on hydrate-based CO storage in porous media with brine

RSC advances, 2024-03, Vol.14 (13), p.9339-935

2024

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Amino acid-assisted effect on hydrate-based CO 2 storage in porous media with brine

RSC advances, 2024-03, Vol.14 (13), p.9339-9350

2024

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Research Advances in Machine Learning Techniques in Gas Hydrate Applications

ACS omega, 2024-01, Vol.9 (4), p.4210-4228

2024

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Kinetic and Thermodynamic Influence of NaCl on Methane Hydrate in an Oil-Dominated System

ACS omega, 2023-11, Vol.8 (47), p.44796-44803

2023

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Modeling of CH4/CO2 hydrate phase behavior in organic and electrolyte inhibitors by dickens' model

Petroleum science and technology, 2023-11, Vol.41 (22), p.2089-2111

2023

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Modeling of CH 4 /CO 2 hydrate phase behavior in organic and electrolyte inhibitors by dickens’ model

Petroleum science and technology, 2023-11, Vol.41 (22), p.2089-2111

2023

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Robust Carborane-Based Metal–Organic Frameworks for Hexane Separation

Journal of the American Chemical Society, 2023-11, Vol.145 (43), p.23433-23441

2023

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Effect of Hydrogen Bonding Energy and Freezing Point Depression of Quaternary Ammonium Salts on the Thermodynamic Gas Hydrate Inhibition

Journal of chemical and engineering data, 2023-08, Vol.68 (8), p.1856-1864

2023

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Desalination of produced water via CO2 + C3H8 hydrate formation

Separation and purification technology, 2023-06, Vol.315, p.123711, Article 123711

2023

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Application of machine learning models to predict cytotoxicity of ionic liquids using VolSurf principal properties

Computational toxicology, 2023-05, Vol.26, p.100266, Article 100266

2023

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Pore Aperture Control Toward Size‐Exclusion‐Based Hydrocarbon Separations

Angewandte Chemie, 2023-04, Vol.135 (16), p.n/a

2023

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Pore Aperture Control Toward Size‐Exclusion‐Based Hydrocarbon Separations

Angewandte Chemie (International ed.), 2023-04, Vol.62 (16), p.e202219053-n/a

International ed. in English, 2023

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Measurement of physicochemical properties of green aqueous amino acid‐based ionic liquids and their correlation with temperature and concentration

Asia-Pacific journal of chemical engineering, 2023-03, Vol.18 (2), p.n/a

2023

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Estimation of Thermodynamic Stability of Methane and Carbon Dioxide Hydrates in the Presence of Hydrogen Sulfide

ACS omega, 2023-02, Vol.8 (7), p.6218-6224

2023

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Intelligent prediction of methane hydrate phase boundary conditions in ionic liquids using deep learning algorithms

Petroleum science and technology, 2023-02, Vol.ahead-of-print (ahead-of-print), p.1-20

2023

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Machine Learning and Flow Assurance Issues

Machine Learning and Flow Assurance in Oil and Gas Production, 2023, p.1-5

2023

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Machine Learning in Wax Deposition

Machine Learning and Flow Assurance in Oil and Gas Production, 2023, p.141-153

2023

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Machine Learning Application Guidelines in Flow Assurance

Machine Learning and Flow Assurance in Oil and Gas Production, 2023, p.175-177

2023

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Performance Evaluation of Tetraethylammonium Iodide as Corrosion Inhibitor for Pipeline Protection

Single-step wet chemical synthesis of Co-doped Bi2O3 photoanode for dye sensitized solar cells

RETRACTED: Rehman, A.u.; Lal, B. Gas Hydrate-Based CO2 Capture: A Journey from Batch to Continuous. Energies 2022, 15, 8309

RETRACTED: Rehman, A.u.; Lal, B. Gas Hydrate-Based CO[sub.2] Capture: A Journey from Batch to Continuous. IEnergies/I 2022, I15/I, 8309

Prediction of ionic liquids toxicity using machine learning models for application to gas hydrate

Desalination of produced water via carbon dioxide hydrate using filter-based hydrate desalination reactor

Amino acid-assisted effect on hydrate-based CO2 storage in porous media with brine

Amino acid-assisted effect on hydrate-based CO storage in porous media with brine

Amino acid-assisted effect on hydrate-based CO 2 storage in porous media with brine

Research Advances in Machine Learning Techniques in Gas Hydrate Applications

Kinetic and Thermodynamic Influence of NaCl on Methane Hydrate in an Oil-Dominated System

Modeling of CH4/CO2 hydrate phase behavior in organic and electrolyte inhibitors by dickens' model

Modeling of CH 4 /CO 2 hydrate phase behavior in organic and electrolyte inhibitors by dickens’ model

Robust Carborane-Based Metal–Organic Frameworks for Hexane Separation

Effect of Hydrogen Bonding Energy and Freezing Point Depression of Quaternary Ammonium Salts on the Thermodynamic Gas Hydrate Inhibition

Desalination of produced water via CO2 + C3H8 hydrate formation

Application of machine learning models to predict cytotoxicity of ionic liquids using VolSurf principal properties

Pore Aperture Control Toward Size‐Exclusion‐Based Hydrocarbon Separations

Pore Aperture Control Toward Size‐Exclusion‐Based Hydrocarbon Separations

Measurement of physicochemical properties of green aqueous amino acid‐based ionic liquids and their correlation with temperature and concentration

Estimation of Thermodynamic Stability of Methane and Carbon Dioxide Hydrates in the Presence of Hydrogen Sulfide

Intelligent prediction of methane hydrate phase boundary conditions in ionic liquids using deep learning algorithms

Machine Learning and Flow Assurance Issues

Machine Learning in Wax Deposition

Machine Learning Application Guidelines in Flow Assurance

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